The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-03"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "6508635 (up from 6378238 yesterday: 2.04 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "385947 (up from 380250 yesterday: 1.5 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 5.93



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1851520 19699 1.08 107175 995 0.94 5.79
Brazil 584016 28633 5.16 32548 1349 4.32 5.57
Russia 431715 8529 2.02 5208 177 3.52 1.21
United Kingdom 281270 1878 0.67 39811 359 0.91 14.15
Spain 240326 394 0.16 27128 1 0.00 11.29
Italy 233836 321 0.14 33601 71 0.21 14.37
India 216824 9633 4.65 6088 259 4.44 2.81
France 192330 3880 2.06 29024 81 0.28 15.09
Germany 184121 242 0.13 8602 39 0.46 4.67
Peru 178914 8875 5.22 4894 260 5.61 2.74
Turkey 166422 867 0.52 4609 24 0.52 2.77
Iran 160696 3134 1.99 8012 70 0.88 4.99
Chile 113628 4942 4.55 1275 87 7.32 1.12
Mexico 101238 3912 4.02 11729 1092 10.27 11.59
Canada 94641 681 0.72 7579 102 1.36 8.01
Saudi Arabia 91182 2171 2.44 579 30 5.46 0.63
China 84160 -1 0.00 4638 0 0.00 5.51
Pakistan 80463 4065 5.32 1688 67 4.13 2.10
Qatar 62160 1901 3.15 45 2 4.65 0.07
Belgium 58685 70 0.12 9522 17 0.18 16.23
Bangladesh 55140 2695 5.14 746 37 5.22 1.35
Netherlands 46939 87 0.19 5996 10 0.17 12.77
Belarus 45116 861 1.95 248 5 2.06 0.55
Ecuador 40966 552 1.37 3486 48 1.40 8.51
Sweden 40803 2214 5.74 4542 74 1.66 11.13
South Africa 37525 1713 4.78 792 37 4.90 2.11
Singapore 36405 569 1.59 24 0 0.00 0.07
United Arab Emirates 36359 571 1.60 270 1 0.37 0.74
Portugal 33261 366 1.11 1447 11 0.77 4.35
Colombia 31935 1342 4.39 1057 43 4.24 3.31
Switzerland 30893 19 0.06 1921 1 0.05 6.22
Kuwait 29359 710 2.48 230 4 1.77 0.78
Egypt 28615 1079 3.92 1088 36 3.42 3.80
Indonesia 28233 684 2.48 1698 35 2.10 6.01
Ukraine 25385 490 1.97 742 9 1.23 2.92
Ireland 25111 45 0.18 1659 1 0.06 6.61
Poland 24687 292 1.20 1115 23 2.11 4.52
Philippines 19748 751 3.95 974 8 0.83 4.93
Romania 19669 152 0.78 1296 8 0.62 6.59
Argentina 19268 949 5.18 583 14 2.46 3.03
Dominican Republic 18040 288 1.62 516 1 0.19 2.86
Israel 17377 92 0.53 291 1 0.34 1.67
Afghanistan 17267 758 4.59 294 24 8.89 1.70
Japan 16867 30 0.18 905 3 0.33 5.37
Austria 16771 12 0.07 670 1 0.15 3.99
Panama 14609 514 3.65 357 5 1.42 2.44
Oman 13537 738 5.77 67 8 13.56 0.49
Bahrain 12815 504 4.09 20 1 5.26 0.16
Kazakhstan 12067 496 4.29 48 4 9.09 0.40
Denmark 11971 37 0.31 580 0 0.00 4.85
Bolivia 11638 647 5.89 400 24 6.38 3.44
Korea, South 11629 39 0.34 273 0 0.00 2.35
Serbia 11523 69 0.60 245 0 0.00 2.13
Nigeria 11166 347 3.21 315 1 0.32 2.82
Armenia 10524 515 5.15 170 12 7.59 1.62
Algeria 9733 107 1.11 673 6 0.90 6.91
Czechia 9438 74 0.79 325 2 0.62 3.44
Moldova 8795 247 2.89 310 3 0.98 3.52
Ghana 8548 251 3.03 38 0 0.00 0.44
Norway 8477 22 0.26 237 0 0.00 2.80
Iraq 8168 781 10.57 256 21 8.94 3.13
Malaysia 7970 93 1.18 115 0 0.00 1.44
Morocco 7922 56 0.71 206 0 0.00 2.60
Australia 7240 11 0.15 102 0 0.00 1.41
Finland 6911 24 0.35 321 1 0.31 4.64
Cameroon 6585 0 0.00 200 0 0.00 3.04
Azerbaijan 6260 325 5.48 76 5 7.04 1.21
Guatemala 5760 174 3.11 143 20 16.26 2.48
Honduras 5690 163 2.95 234 9 4.00 4.11
Sudan 5499 189 3.56 314 7 2.28 5.71

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 374085 1045 0.28 30019 51 0.17 8.02 19229.64 1543.11 1 in 52
New Jersey 162068 523 0.32 11880 109 0.93 7.33 18246.40 1337.51 1 in 55
Illinois 123830 982 0.80 5621 96 1.74 4.54 9772.08 443.58 1 in 102
California 119348 2133 1.82 4374 69 1.60 3.66 3020.53 110.70 1 in 331
Massachusetts 101592 429 0.42 7152 67 0.95 7.04 14618.60 1029.14 1 in 68
Pennsylvania 77780 555 0.72 5742 75 1.32 7.38 6075.62 448.52 1 in 165
Texas 68877 1567 2.33 1744 28 1.63 2.53 2375.41 60.15 1 in 421
Florida 58764 1317 2.29 2566 36 1.42 4.37 2736.04 119.47 1 in 365
Michigan 58035 304 0.53 5570 17 0.31 9.60 5811.14 557.73 1 in 172
Maryland 54982 807 1.49 2641 44 1.69 4.80 9094.43 436.84 1 in 110
Georgia 48894 687 1.43 2123 21 1.00 4.34 4605.07 199.95 1 in 217
Virginia 46905 666 1.44 1428 21 1.49 3.04 5495.27 167.30 1 in 182
Connecticut 43091 112 0.26 3989 17 0.43 9.26 12086.26 1118.84 1 in 83
Louisiana 41133 387 0.95 2870 35 1.23 6.98 8848.10 617.36 1 in 113
Ohio 36792 442 1.22 2300 41 1.81 6.25 3147.55 196.76 1 in 318
Indiana 35712 475 1.35 2207 10 0.46 6.18 5304.64 327.83 1 in 189
North Carolina 31276 1253 4.17 999 38 3.95 3.19 2982.05 95.25 1 in 335
Colorado 27046 272 1.02 1494 20 1.36 5.52 4696.52 259.43 1 in 213
Minnesota 25870 362 1.42 1097 15 1.39 4.24 4587.18 194.52 1 in 218
Tennessee 24833 491 2.02 388 7 1.84 1.56 3634.18 56.78 1 in 275
Washington 22484 327 1.48 1135 6 0.53 5.05 2952.64 149.05 1 in 339
Arizona 22356 1092 5.14 983 40 4.24 4.40 2935.83 129.09 1 in 341
Iowa 20300 281 1.40 574 13 2.32 2.83 6434.09 181.93 1 in 155
Wisconsin 19400 483 2.55 616 9 1.48 3.18 3331.94 105.80 1 in 300
Alabama 18851 85 0.45 653 0 0.00 3.46 3844.64 133.18 1 in 260
Mississippi 16322 281 1.75 782 15 1.96 4.79 5484.27 262.76 1 in 182
Rhode Island 15219 107 0.71 742 10 1.37 4.88 14366.21 700.42 1 in 70
Nebraska 14885 269 1.84 170 0 0.00 1.14 7694.86 87.88 1 in 130
Missouri 14189 174 1.24 791 5 0.64 5.57 2311.88 128.88 1 in 433
South Carolina 12415 0 0.00 501 0 0.00 4.04 2411.28 97.31 1 in 415
Utah 10497 295 2.89 117 4 3.54 1.11 3274.22 36.49 1 in 305
Kentucky 10410 225 2.21 450 8 1.81 4.32 2330.07 100.72 1 in 429
Kansas 10092 127 1.27 226 4 1.80 2.24 3464.10 77.57 1 in 289
Delaware 9712 27 0.28 375 2 0.54 3.86 9973.67 385.10 1 in 100
District of Columbia 9016 130 1.46 473 3 0.64 5.25 12775.08 670.21 1 in 78
Nevada 8951 93 1.05 431 14 3.36 4.82 2906.02 139.93 1 in 344
New Mexico 8140 116 1.45 375 8 2.18 4.61 3882.05 178.84 1 in 258
Arkansas 8067 249 3.18 142 6 4.41 1.76 2673.12 47.05 1 in 374
Oklahoma 6805 113 1.69 341 2 0.59 5.01 1719.75 86.18 1 in 581
South Dakota 5162 95 1.87 62 0 0.00 1.20 5835.02 70.08 1 in 171
New Hampshire 4795 46 0.97 265 9 3.52 5.53 3526.48 194.89 1 in 284
Oregon 4399 64 1.48 159 2 1.27 3.61 1042.98 37.70 1 in 959
Puerto Rico 4023 88 2.24 140 2 1.45 3.48 1259.67 43.84 1 in 794
Idaho 2933 0 0.00 83 0 0.00 2.83 1636.66 46.32 1 in 611
North Dakota 2679 33 1.25 66 1 1.54 2.46 3515.46 86.61 1 in 284
Maine 2418 41 1.72 95 1 1.06 3.93 1798.82 70.67 1 in 556
West Virginia 2077 21 1.02 78 0 0.00 3.76 1162.19 43.64 1 in 860
Vermont 990 2 0.20 55 0 0.00 5.56 1586.57 88.14 1 in 630
Wyoming 915 3 0.33 17 0 0.00 1.86 1580.97 29.37 1 in 633
Hawaii 653 0 0.00 17 0 0.00 2.60 461.20 12.01 1 in 2168
Montana 525 2 0.38 17 0 0.00 3.24 491.22 15.91 1 in 2036
Alaska 504 18 3.70 10 0 0.00 1.98 688.95 13.67 1 in 1451

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 2229473 374085 16.78 114604.88
New Jersey 837420 162068 19.35 94280.80
Illinois 959175 123830 12.91 75693.54
California 2131294 119348 5.60 53940.12
Massachusetts 617761 101592 16.45 88892.83
Pennsylvania 475391 77780 16.36 37134.15
Texas 1006768 68877 6.84 34721.07
Florida 1080913 58764 5.44 50327.14
Michigan 593549 58035 9.78 59433.01
Maryland 327625 54982 16.78 54191.59
Georgia 482712 48894 10.13 45464.14
Virginia 342387 46905 13.70 40113.20
Connecticut 276436 43091 15.59 77535.41
Louisiana 402087 41133 10.23 86492.75
Ohio 426105 36792 8.63 36453.19
Indiana 277815 35712 12.85 41266.48
North Carolina 449263 31276 6.96 42835.56
Colorado 194177 27046 13.93 33718.68
Minnesota 265718 25870 9.74 47116.19
Tennessee 470779 24833 5.27 68896.09
Washington 368799 22484 6.10 48431.28
Arizona 244525 22356 9.14 32111.42
Iowa 164445 20300 12.34 52120.87
Wisconsin 299111 19400 6.49 51372.16
Alabama 231594 18851 8.14 47233.38
Mississippi 184747 16322 8.83 62075.86
Rhode Island 162540 15219 9.36 153432.12
Nebraska 109966 14885 13.54 56847.37
Missouri 211353 14189 6.71 34436.74
South Carolina 222925 12415 5.57 43297.22
Utah 223981 10497 4.69 69863.98
Kentucky 232199 10410 4.48 51973.14
Kansas 108053 10092 9.34 37089.38
Delaware 64920 9712 14.96 66669.13
District of Columbia 49562 9016 18.19 70226.10
Nevada 156255 8951 5.73 50729.57
New Mexico 206837 8140 3.94 98642.76
Arkansas 142480 8067 5.66 47212.81
Oklahoma 208052 6805 3.27 52578.60
South Dakota 48662 5162 10.61 55006.51
New Hampshire 75739 4795 6.33 55702.28
Oregon 136668 4399 3.22 32403.16
Puerto Rico 4023 4023 100.00 1259.67
Idaho 48942 2933 5.99 27310.39
North Dakota 74502 2679 3.60 97763.70
Maine 53009 2418 4.56 39435.00
West Virginia 103768 2077 2.00 58063.49
Vermont 37195 990 2.66 59608.42
Wyoming 26628 915 3.44 46008.79
Hawaii 49508 653 1.32 34966.44
Montana 43448 525 1.21 40652.03
Alaska 58182 504 0.87 79533.04

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 74860 2560 3.54 32329 43.19 39944 2587 122 4.95 3.46
Tamil Nadu 25872 1286 5.23 14316 55.33 11348 208 8 4.00 0.80
Delhi 23645 1513 6.84 9542 40.36 13488 615 59 10.61 2.60
Gujarat 18117 485 2.75 12212 67.41 4783 1122 30 2.75 6.19
Rajasthan 9652 279 2.98 6744 69.87 2699 209 6 2.96 2.17
Uttar Pradesh 8870 141 1.62 5257 59.27 3383 230 1 0.44 2.59
Madhya Pradesh 8588 168 2.00 5445 63.40 2772 371 7 1.92 4.32
State Unassigned 7483 360 5.05 0 0.00 7483 0 0 NaN 0.00
West Bengal 6508 340 5.51 2580 39.64 3583 345 10 2.99 5.30
Bihar 4326 230 5.62 2025 46.81 2276 25 1 4.17 0.58
Karnataka 4063 267 7.03 1514 37.26 2494 53 1 1.92 1.30
Andhra Pradesh 3971 180 4.75 2464 62.05 1439 68 4 6.25 1.71
Telangana 3020 129 4.46 1556 51.52 1365 99 7 7.61 3.28
Haryana 2954 302 11.39 1089 36.87 1842 23 0 0.00 0.78
Jammu and Kashmir 2857 139 5.11 1007 35.25 1816 34 1 3.03 1.19
Odisha 2388 143 6.37 1416 59.30 963 9 0 0.00 0.38
Punjab 2376 34 1.45 2029 85.40 300 47 1 2.17 1.98
Assam 1831 269 17.22 414 22.61 1410 4 0 0.00 0.22
Kerala 1495 82 5.80 651 43.55 832 12 0 0.00 0.80
Uttarakhand 1085 42 4.03 259 23.87 814 8 1 14.29 0.74
Jharkhand 764 42 5.82 297 38.87 462 5 0 0.00 0.65
Chhattisgarh 626 62 10.99 170 27.16 455 1 0 0.00 0.16
Tripura 573 102 21.66 173 30.19 400 0 0 NaN 0.00
Himachal Pradesh 359 14 4.06 146 40.67 204 6 0 0.00 1.67
Chandigarh 301 0 0.00 214 71.10 82 5 0 0.00 1.66
Goa 126 47 59.49 57 45.24 69 0 0 NaN 0.00
Manipur 108 19 21.35 38 35.19 70 0 0 NaN 0.00
Ladakh 90 9 11.11 48 53.33 41 1 0 0.00 1.11
Puducherry 88 9 11.39 30 34.09 58 0 0 NaN 0.00
Nagaland 58 0 0.00 0 0.00 58 0 0 NaN 0.00
Arunachal Pradesh 37 9 32.14 1 2.70 36 0 0 NaN 0.00
Andaman and Nicobar Islands 33 0 0.00 33 100.00 0 0 0 NaN 0.00
Meghalaya 33 3 10.00 13 39.39 19 1 0 0.00 3.03
Mizoram 17 4 30.77 1 5.88 16 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 11 7 175.00 1 9.09 10 0 0 NaN 0.00
Sikkim 2 1 100.00 0 0.00 2 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 777477 89442 237 0.27 11.50 2995 131 20224 16172 18.08
Piemonte 327206 30734 19 0.06 9.39 841 44 4686 3898 12.68
Emilia-Romagna 336630 27842 14 0.05 8.27 342 50 2839 4147 14.89
Veneto 695053 19164 2 0.01 2.76 106 2 1387 1921 10.02
Toscana 259167 10121 4 0.04 3.91 76 25 973 1055 10.42
Liguria 110006 9751 17 0.17 8.86 169 6 514 1473 15.11
Lazio 262461 7753 10 0.13 2.95 519 51 2818 747 9.63
Marche 105679 6735 1 0.01 6.37 57 8 1310 987 14.65
Campania 208854 4821 12 0.25 2.31 206 4 869 415 8.61
Puglia 122506 4499 1 0.02 3.67 131 10 1036 511 11.36
P.A. Trento 91021 4433 1 0.02 4.87 15 2 222 463 10.44
Sicilia 154873 3447 0 0.00 2.23 60 7 880 275 7.98
Friuli Venezia Giulia 138250 3276 0 0.00 2.37 39 2 233 336 10.26
Abruzzo 78356 3252 3 0.09 4.15 112 3 736 414 12.73
P.A. Bolzano 67965 2598 0 0.00 3.82 13 3 120 291 11.20
Umbria 72001 1431 0 0.00 1.99 15 2 31 76 5.31
Sardegna 58605 1357 0 0.00 2.32 12 1 146 131 9.65
Valle d’Aosta 15413 1187 0 0.00 7.70 9 0 13 143 12.05
Calabria 72237 1158 0 0.00 1.60 20 0 110 97 8.38
Molise 15123 436 0 0.00 2.88 1 2 127 22 5.05
Basilicata 30708 399 0 0.00 1.30 4 0 23 27 6.77

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 51884 291 0.56 4794 81 1.72 9.24 6077.07 561.51 1 in 165
Ontario 30603 344 1.14 2392 17 0.72 7.82 2080.16 162.59 1 in 481
Alberta 7076 19 0.27 145 2 1.40 2.05 1603.39 32.86 1 in 624
British Columbia 2623 22 0.85 166 1 0.61 6.33 513.22 32.48 1 in 1949
Nova Scotia 1058 1 0.09 60 0 0.00 5.67 1082.40 61.38 1 in 924
Saskatchewan 647 1 0.15 11 0 0.00 1.70 547.53 9.31 1 in 1826
Manitoba 298 1 0.34 7 0 0.00 2.35 216.33 5.08 1 in 4623
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 135 2 1.50 0 0 NaN 0.00 173.08 0.00 1 in 5778
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1598 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1093 4 0.37
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Shandong 792 7 0.88
Shanghai 673 7 1.04
Jiangsu 653 0 0.00
Beijing 594 9 1.52
Chongqing 579 6 1.04
Sichuan 577 3 0.52
Fujian 358 1 0.28
Hebei 328 6 1.83
Shaanxi 309 3 0.97
Guangxi 254 2 0.79
Inner Mongolia 235 1 0.43
Shanxi 198 0 0.00
Tianjin 192 3 1.56
Yunnan 185 2 1.08
Hainan 169 6 3.55
Jilin 155 2 1.29
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 5658.68 327.55 1 in 177
Brazil 2790.33 155.51 1 in 358
Russia 2987.65 36.04 1 in 335
United Kingdom 4233.44 599.20 1 in 236
Spain 5150.58 581.40 1 in 194
Italy 3866.34 555.57 1 in 259
India 161.93 4.55 1 in 6176
France 2871.03 433.26 1 in 348
Germany 2223.95 103.90 1 in 450
Peru 5561.52 152.13 1 in 180
Turkey 2059.42 57.04 1 in 486
Iran 1979.99 98.72 1 in 505
Chile 6295.18 70.64 1 in 159
Mexico 783.58 90.78 1 in 1276
Canada 2517.72 201.62 1 in 397
Saudi Arabia 2768.12 17.58 1 in 361
China 60.72 3.35 1 in 16469
Pakistan 408.44 8.57 1 in 2448
Qatar 23554.38 17.05 1 in 42
Belgium 5147.81 835.26 1 in 194

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 204872 21688 10.59
Cook Illinois 80204 3780 4.71
Los Angeles California 58261 2489 4.27
Nassau New York 40644 2130 5.24
Suffolk New York 40062 1915 4.78
Westchester New York 33691 1381 4.10
Philadelphia Pennsylvania 23160 1359 5.87
Middlesex Massachusetts 22403 1676 7.48
Wayne Michigan 20541 2479 12.07
Hudson New Jersey 18852 1192 6.32
Suffolk Massachusetts 18733 908 4.85
Miami-Dade Florida 18456 731 3.96
Bergen New Jersey 18376 1595 8.68
Essex New Jersey 17813 1687 9.47
Passaic New Jersey 16277 940 5.78
Middlesex New Jersey 16066 1004 6.25
Union New Jersey 15911 1086 6.83
Fairfield Connecticut 15789 1289 8.16
Prince George’s Maryland 15738 565 3.59
Essex Massachusetts 14857 979 6.59
Harris Texas 13268 241 1.82
Rockland New York 13259 646 4.87
Montgomery Maryland 11924 633 5.31
Fairfax Virginia 11596 396 3.41
New Haven Connecticut 11548 990 8.57
Worcester Massachusetts 11465 804 7.01
Maricopa Arizona 11068 466 4.21
Providence Rhode Island 11052 0 0.00
Dallas Texas 10958 249 2.27
Hartford Connecticut 10593 1259 11.89
Orange New York 10460 444 4.24
Marion Indiana 10037 594 5.92
District of Columbia District of Columbia 9016 473 5.25
Ocean New Jersey 8853 755 8.53
Hennepin Minnesota 8738 633 7.24
Norfolk Massachusetts 8613 850 9.87
Lake Illinois 8511 315 3.70
Oakland Michigan 8425 1003 11.91
Monmouth New Jersey 8332 619 7.43
King Washington 8264 573 6.93
Plymouth Massachusetts 8243 572 6.94
Riverside California 8155 342 4.19
Milwaukee Wisconsin 8108 315 3.89
DuPage Illinois 7891 383 4.85
Jefferson Louisiana 7738 454 5.87
San Diego California 7674 276 3.60
Bristol Massachusetts 7453 441 5.92
Broward Florida 7339 318 4.33
Montgomery Pennsylvania 7242 702 9.69
Orleans Louisiana 7174 509 7.10

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc